Integrating clinical, genomic, metabolomic and dietary data through machine learning to improve our understanding of their influences on blood pressure regulation / P. Louca, T. Tran, C. du Toit, P. Christofidou, T. Spector, M. Mangino, K. Suhre, S. Padmanabhan, C. Menni. - In: JOURNAL OF HUMAN HYPERTENSION. - ISSN 0950-9240. - 36:Suppl. 1(2022), pp. 1-2. (Intervento presentato al convegno Annual Scientific Meeting of the British and Irish Hypertension Society (BIHS) nel 2022).
Integrating clinical, genomic, metabolomic and dietary data through machine learning to improve our understanding of their influences on blood pressure regulation
C. Menni
Ultimo
2022
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